Design and Performance Analysis of Quadruple Gate InAlN/GaN MOS-High Electron Mobility Transistor

S. K. Hima Bindhu, Yogesh Kumar Verma ORCiD and Kamal Bhatia
School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar, India Research Organization Registry (ROR)
Correspondence to: Yogesh Kumar Verma, yogesh.25263@lpu.co.in

Premier Journal of Science

Additional information

  • Ethical approval: N/a
  • Consent: N/a
  • Funding: No industry funding
  • Conflicts of interest: N/a
  • Author contribution: S. K. Hima Bindhu, Yogesh Kumar Verma and Kamal Bhatia – Conceptualization, Writing – original draft, review and editing.
  • Guarantor: Yogesh Kumar Verma
  • Provenance and peer-review: Unsolicited and externally peer-reviewed
  • Data availability statement: N/a

Keywords: Quadruple gate, Single gate, AlInN, GaN, MOS-HEMT.

Peer Review
Received: 22 August 2025
Last revised: 31 October 2025
Accepted: 17 December 2025
Version accepted: 4
Published: 31 January 2026

Plain Language Summary Infographic
“Technical infographic comparing single-gate and quadruple-gate InAlN/GaN MOS-HEMT transistor designs, showing layered device structures, gate configurations, and electrical performance graphs. The visual highlights improved electrostatic control, higher drain current, and increased cut-off frequency of the quadruple-gate structure for RF and high-frequency applications under varying temperature and doping conditions.”
Abstract

The short-channel effects in single-gate (SG) field-effect transistors are significant due to poor control of the gate on the channel. Accordingly, in this work, we have designed a quadruple-gate (QG) AlInN/GaN MOS-HEMT and performed a comparative analysis of both SG and QG structures. The comparison of the different electrical parameters is performed for different temperature and doping concentration. It is analyzed that doping concentration significantly affects the electrical performance and the magnitude of electrical parameters significantly varies with variations in temperature and doping concentration. It is noticed that the cut-off frequency is comparatively higher for QG structure, thus highlighting it as a potential contender for different RF applications.

Introduction

The electrical performance of HEMT depends on different device parameters such as temperature, channel height, thickness of oxide layer, and length of the channel. The analysis of HEMT is performed by several research groups to analyze its electrical performance using different techniques.1–3 Huque et al.4 proposed an analytical model for AlGaN/GaN power HEMT to calculate the DC performance at higher temperatures. Turuvekere et al.5 analyzed the gate-leakage mechanisms of AlInN/GaN and AlGaN/GaN HEMTs considering thermionic emission (TE), Poole-Frenkel emission (PF), and Fowler Nordheim tunneling (FN). TE and PF mechanisms are dominant in AlGaN/GaN and FN is dominant in AlInN/GaN HEMT and predicted that Schottky barrier height increases with temperature. The temperature significantly effects the transconductance of both quadruple-gate (QG) and single-gate (SG) due to phonon scattering and mobility variation.

The phonon scattering represents the interactions between the charge carriers and vibrations of the crystal lattice, which are quantized as phonons.6–10 It is noticed that the transconductance is higher for low values of temperatures at higher values of gate voltage. He et al.11 calculated the DC and AC characteristics of AlN/β-Ga2O3 HEMT, and reported that the drain current is reduced with increase in temperature that leads to the decrease in the transconductance. At lower temperature, the phonon scattering is reduced and carrier mobility increases significantly. At higher temperature, lower carrier mobility and increased interface trap activity is there. At higher gate voltage, stronger channel control and higher 2-DEG density is obtained due to which the cut-off frequency is reduced. In this work, the output conductance, transconductance generation factor, and early voltage of multi- gate and single gate AlInN/GaN MOS HEMT are compared. It is noticed that the QG AlInN/GaN MOS HEMT exhibits lower output conductance (gd) as compared to single gate (SG) so QG can operate at higher currents with less variation. The effect of variation in temperature is also analyzed on different electrical parameters.

Structure of the Device

Figure 1 represents the 3D structure of AlInN/GaN MOS HEMT. The AlInN barrier layer provides lattice matching with GaN thus reduces the strain and damage at the hetero-interface thus improving the stability of the structure. The usage of oxide layer provides interesting significant features such as reducing gate leakage current and improving the breakdown voltage of the device. The GaN layer provides the confinement of the charge carriers and consists of the channel between source and drain.6,7 The GaN layer belongs to wide bandgap material thus provides higher breakdown voltage and more voltage can be applied at the drain terminal.

Fig 1 | 3D structure of quadruple gate AlInN/GaN MOS HEMT
Figure 1: 3D structure of quadruple gate AlInN/GaN MOS HEMT.
Development of Model

In the present work, the analytical modeling of QG AlInN/GaN MOS-HEMT is performed. The method of equivalent number of gates is used. The parabolic potential expression is represented using Eqution (3). Tables 1 and 2 represent the device parameters and relations used in the present work. The boundary conditions are represented using Equations (4)–(9). The QG high electron mobility transistor (HEMT) can be viewed as two separate double gate (DG) HEMTs in zx and yz planes. So, we can analyze QG using the equivalent number of gates (ENG) method. The characteristics length λQG of QG can be calculated using: (1)

Mathematical equation showing the relationship between wavelengths, represented as 1/lambda squared terms.

where λDGzx and λDGyz are the characteristics length of the DG HEMTs in zx and yz planes. Considering the DG HEMT of zx plane the characteristics length is calculated solving following 2D Poisson’s equation: (2)

Mathematical equation representing the second derivatives of a function with respect to spatial coordinates, related to electric charge density and permittivity in Gallium Nitride (GaN).

Where Nd is the donor concentration; ϕ (x, z) is the potential in the channel; εGan  is the permittivity of GaN; q is the unit charge in coulombs. Assuming the parabolic potential approximation in the x direction, (3)

Mathematical equation representing a function phi of variables z and x, including coefficients c0, c1, and c2 as functions of z.

c0 (z), c1 (z)x, c2 (z) are constants to be determined by using the following boundary conditions: (4)

Mathematical equation showing a relationship with variables z and a function phi_s.

(5)

Mathematical equation showing the relationship between variables phi, W_GaN, and z.

(6)

Mathematical equation showing the relationship between phi of 0.5 W GaN and z, equal to phi s of z.

(7)

Mathematical equation representing a relationship involving partial derivatives, charge density, and potential variables in a semiconductor context.

(8)

Mathematical equation showing the relationship between surface potential and electric field in Gallium Nitride (GaN).

(9)

Mathematical expression showing partial derivative of a function with respect to x, evaluated at a specific condition.

where

A mathematical equation showing capacitance and voltage relationship in semiconductor physics.

and VFB = ϕMϕGan which is flat band voltage using Equation (4) which states that at x = 0 the potential is equal to the surface potential, gives (10)

Mathematical equation showing c_0(z) equals phi_s(z)

using Equation (7) which states at x = 0 the electric field can be written as

Mathematical equation describing the relationship between electric potential and capacitance in a GaN-based structure.

gives (11)

Mathematical equation representing capacitance in a semiconductor system, including variables for capacitance, electric permittivity, and voltage.

using Equation (8) which states that at x = WGaN the electric field can be written as

Mathematical equation representing a relationship involving partial derivatives, capacitance, and voltage in a GaN-based semiconductor context.

gives (12)

Mathematical expression for capacitance C2(Z) with variables including Cax, φS, VGS, VFB, εGaN, and WGaN.

c0(z), c1(z)x, c2(z) are substituted in the Equation (3) and from this the centre potential can be calculated by putting

Equation displaying the relationship of chi (χ) to the weight of GaN (W) divided by 2.

gives (13)

Mathematical equation involving variables and parameters related to electrostatics and charge distribution.

From Equation (13) the characteristic length of zx plane DG is

Mathematical equation for lambda in a semiconductor context, featuring variables related to capacitance and material properties.

and similarly characteristic length of yz plane DG can be calculated to be

Mathematical formula representing the equation for lambda_dGyz, involving various parameters like C_ax, H_GaN, and epsilon_GaN.

From Equation (1) we can calculate the λQG and the solution of Equation (2) is of the form

Mathematical equation representing a function with variables A, B, and beta, involving exponential terms.

where .

Formula for beta QG in electrical engineering, showing the relationship between VGS, VFB, and other variables.

Constants A and B can be calculated using the boundary conditions:

Potential at source terminal is Vs (14a)

Mathematical equation showing the relationship φc(0) = Vs.

Potential at drain terminal is VD (14b)

Mathematical equation representing a function phi_c of variable L equal to V_D.

Using Boundary conditions of (14a) and (14b) we get, constants A and B: (15)

Mathematical equations representing variables A and B in terms of quantum mechanics and physical constants.
Table 1: Device Parameters.
ParameterValue
tox (nm)2
CL (nm)20
Temperature (K)300
H (nm)10
Table 2: Relations Used.
VIP2,
VIP3
IMD3
IIP3
gm1
gm2
gm3
Model Validation

The results obtained using the proposed analytical model for center potential are compared with TCAD simulations. The Albrecht model is chosen to model the low field mobility using albrct parameter. The field-dependent mobility model (FLDMOB) is used to model velocity-saturation effect. The Shockley-Read-Hall (SRH) model is initiated in the model using the SRH parameter. The concentration dependent mobility (CONMOB) model is used to account for the mobility dependent on the concentration. In order to account for the strain due to lattice mismatch CALC.STRAIN model is incorporated so that the piezoelectric-polarization effects are also included in the analysis by setting the STRAIN and POLARIZATION parameters. Figures 2a–c represent the calculation of center potential for different channel height, channel length, and oxide thickness respectively.

Fig 2 | Calculation of center potential for different (a) channel height (b) channel length (c) oxide thickness
Figure 2: Calculation of center potential for different (a) channel height (b) channel length (c) oxide thickness.
Results and Discussions

It is analyzed that the transconductance (gm1) of both QG and SG AlInN/GaN MOS HEMT reduces with increasing temperature due to the reduction in electron mobility and increase in the gate leakage current, similar to.9 The electron mobility reduces with the increase in temperature due increased lattice vibrations and hence increased phonon scattering. The transconductance of a semiconductor device quantifies how effectively the gate voltage controls the drain current. It is evident from Figure 3a that the magnitude of gm1 is higher for QG as compared to SG due to better electrostatic control and enhanced carrier modulation. The electrostatic control is improved for QG as compared to SG because the gate surrounds the channel from all the surroundings. In SG, the gate modulates only the carriers near the top of the channel; however, for QG, the gate controls the channel over the entire distribution of electrons from all the surroundings.

The calculation of the first and second order derivative of transconductance, i.e., gm2 and gm3 for different values of temperature are represented using Figures 3b and c. The gm2 and gm3 represent that how rapidly the magnitudes of gm1 and gm2 respectively changes with Vg. It is noticed that the magnitude of gm2 and gm3 remains more stable for QG thus indicating better linearity as compared to SG. It is observed using Figure 3d that the drain current is higher at lower values of temperature due to increased mobility of electrons and reduced access and contact resistances. The phenomenon of phonon scattering is reduced at lower temperature that results in the reduced interaction of phonons with the electrons, and because of this there occurs significant reduction in the lattice vibration, resulting in the increased mobility of the electrons.

Fig 3 | Calculation of different electrical parameters w.r.t. temperature (a) gm1 (b) gm2 (c) gm3 (d) drain current
Figure 3: Calculation of different electrical parameters w.r.t. temperature (a) gm1 (b) gm2 (c) gm3 (d) drain current.

The change in doping concentration significantly affects the electrical performance of AlInN/GaN MOS-HFET due to change in the charge concentration and ionized impurity scattering. Figure 4a represents the calculation of gm1 for different doping concentration. It is analyzed that the QG device exhibits higher magnitude of gm1 for different doping concentration as compared to SG, because the mobility degradation is more effective in SG at higher doping concentration. It is analyzed that the magnitude of gm1 is higher at higher doping concentration due to increased charge density. Figure 4b represents the comparison of cut-off frequency (fT) for different doping concentration. It is noticed that the magnitude of fT is higher for higher doping concentration because the magnitude of gm1 is increased due to increased carrier density at higher doping concentration, which leads to increase in fT.

Figure 4c represents the calculation of gm2 for different doping concentration. The QG device is noticed to exhibit lower magnitude of gm2 for different doping concentration as compared to SG due to uniform potential distribution which leads to minimal distortion. Figure 4d represents the TFP for different doping concentration. Figure 4e represents the calculation of gm3 for different channel length. The QG device is noticed to exhibit lower magnitude of gm3 for different doping concentration as compared to SG as the QG structure wraps the channel from all surroundings providing symmetric field control.

Figure 4f represents the calculation of intrinsic gain. The magnitude of intrinsic gain is more in QG as compared to SG. The inversion charge is reduced more at lower doping concentration in SG than QG, thereby reducing gm1, and consequently intrinsic gain is reduced more effectively as compared to QG. Figure 4g represents the comparison of IIP3. It is noticed that QG exhibits higher IIP3 because of the reduced magnitude of gm3 and increased magnitude of gm1 in QG as compared to SG with better electrostatic control. Figure 4h represents the comparison of VIP2. Figure 4i represents the comparison of VIP3. It is evident that the QG device exhibits more VIP2 and VIP3 as compared to SG.

Fig 4 | Comparison of performance parameters for different doping concentration
Figure 4: Comparison of performance parameters for different doping concentration.
Conclusion

In this work, the electrical performances of QG and SG AlInN/GaN MOS HEMTs are analyzed and compared. It is noticed that the magnitude of gm2 is lower for QG as compared to SG because of better electrostatic control as channel is surrounded by the gate more effectively. The magnitude of gm3 is calculated lower for QG as compared to SG, highlighting reduced non-linearity. It is analyzed that the QG exhibits higher intrinsic gain as compared to SG due to increased transconductance and reduced output conductance. It is noticed that QG exhibits higher IIP3 for the analyzed device geometry because of the reduced magnitude of gm3 and increased magnitude of gm1 in QG as compared to SG making it suitable for highly linear analog applications.

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